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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 22869
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    Explanations

    phrases related to common practices or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to specific practices or behaviors, particularly those that are controversial or criticized

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gin
    -0.78
    itialized
    -0.76
    ilee
    -0.73
     juven
    -0.71
    aline
    -0.71
    éĹĺ
    -0.69
     raspberry
    -0.67
    gow
    -0.67
    worms
    -0.66
    onge
    -0.65
    POSITIVE LOGITS
    ually
    0.92
     Practices
    0.78
     practiced
    0.78
     practices
    0.77
    uality
    0.76
     practice
    0.74
     pract
    0.70
    itual
    0.68
     practitioners
    0.67
    reating
    0.66
    Activations Density 0.023%

    No Known Activations